PYTHON- Projects in my MAT-243 STATS for STEM I course at SNHU (HTML files and Python files with source code and reports)

Machine Learning in R

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

This is a course project done in 6th sem in course 'HS421: Econometric Data Science' under Prof. Sunil Paul at IIT Goa.

PREDICTION OF HEALTH INSURANCE CHARGES

Fixed effects multiple linear regression with instrumental variables to quantify the relative importance of economic growth factors as countries develop.

The project, ProSoccerPredictor is a Football Match Prediction and Player Analysis System which is designed to predict outcomes for matches between different teams and to also get a complete performance analysis on different players.

A repository for my independent projects.

A project for modeling atmospheric data to try to predict temperature values using a linear model and a generalized additive model

A manuscripts of mine about mathematics and computer science.

This repo contains EDA of red and white wine and how it relates to quality.

This includes various assignments I worked on learning Data Mining in R Studio

In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression

Depository related with "Investigating player attributes" project. It includes datasets used for the research, Jupyter Notebook file with the code of data cleaning, data manipulations and multiple linear regressions that were performed in order to achieve the project's goals.

A DATA-DRIVEN APPROACH TO ENHANCE CITIZEN SERVICES AND QUALITY OF LIFE

Statistically answered 8 research questions using Multiple Factor Analysis (MFA), Principal Component Analysis (PCA), Multiple Linear Regression, Welch's t-test, Wilcoxon signed-rank test, and Longitudinal Multilevel Mixed-effect Modeling with time trajectories.

Explore a collection of linear regression projects showcasing implementations and applications in Python. From simple linear regression to advanced techniques like ridge and polynomial regression, this repository offers hands-on examples with diverse datasets.

Ángela Castillo-Gill's personal website